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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Shi, Weihong Tang, Tao Zhao, Runhui Wen, Hong Feng, Xuewei School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent loT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

Based on the traditional energy detection algorithm, an adaptive communication spectrum sensing algorithm based on energy detection is proposed for signals whose noise power is difficult to be estimated accurately. The algorithm takes into account the problem of large error in calculating the energy detection judgment threshold by noise power when the estimated value of noise power is inaccurate, and is able to perform adaptive communication spectrum sensing for signals with less a priori information and noise power that cannot be estimated accurately. Simulation results show that the adaptive communication spectrum sensing algorithm based on energy detection can effectively improve the performance of spectrum sensing for signals, and the algorithm can effectively detect and sense signals under the condition of reasonable setting of judgment coefficients. © The Author(s) 2025.

关键词： Adaptive Cognitive radio Energy detection Spectrum sensing

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An Offline Learning-Based Anti-interference Communication Scheme for UAV Networks 7th

An Offline Learning-Based Anti-interference Communication Sc...

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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Tang, Tao Zhao, Runhui Wen, Hong Feng, Xuewei Shi, Weihong Peng, Yulin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent IoT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

Unmanned Aerial Vehicles (UAV) face challenges from advanced interference technologies, making them susceptible to malicious node attacks, data interception, and tampering. Traditional anti-interference decisions have limitations, as they cannot adaptively adjust to changes in interference signals. Moreover, anti-interference communication models based on Deep Reinforcement Learning (DRL) require prolonged interactions with the environment, demanding high requirements for anti-interference environments. This paper investigates an offline anti-interference decision based on Decision-Transformers, which can quickly and stably acquire practical anti-interference decision models. Simulation experiments have verified the effectiveness of this algorithm in making anti-interference decisions under AWGN and fading channel conditions. Furthermore, this offline approach can achieve the expected reward targets with fewer training iterations. © The Author(s) 2025.

关键词： Deep reinforcement learning

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Seeking Secure Adaptive Distributed Discrete-Time Observer for Networked Agent Systems Under External Cyber Attacks

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IEEE Transactions on Consumer Electronics 2025年

作者： Li, Weihao Ren, Ruichi Shi, Mengji Lin, Boxian Qin, Kaiyu University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China

In the era of Industry 5.0, the cooperation among components in Cyber-Physical Systems (CPS) plays a crucial role in achieving digital transformation and intelligent development. Distributed observers can simplify the design complexity of cooperative control schemes in intelligent networked industrial systems. However, the open nature of the information exchange network in these systems makes them vulnerable to cyber attacks. With this in mind, this paper designs a discrete-time secure adaptive distributed observer for networked agent systems under Denial of Service (DoS) attacks. The observer enables agents to monitor reference state information effectively, even when the system matrix is globally unknown and unstable. To enhance security, we propose adaptive secure update rules that respond to compromised communication links, ensuring the ability of the observer to generate reference trajectories during DoS attacks. Furthermore, sufficient algebraic conditions are obtained for the convergence of the proposed observer, employing the analysis approach based on infinite products of sub-stochastic matrices. Finally, some numerical simulation results are provided to verify the effectiveness of the proposed secure adaptive distributed observer. © 1975-2011 IEEE.

关键词： Cyber attacks

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Fault Detection and Fault-Tolerant control Based on Bi-LSTM Network and SPRT for aircraft Braking System

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Chinese Journal of Mechanical Engineering 2025年第1期38卷 1-17页

作者： Li, Renjie Shang, Yaoxing Cai, Jinglin Liu, Xiaochao Geng, Lingdong Qi, Pengyuan Jiao, Zongxia School of Automation Science and Electrical Engineering Beihang University Beijing China Key Laboratory of Advanced Aircraft Systems Beihang University Beijing China Ningbo Institute of Technology Beihang University Ningbo China Tianmushan Laboratory Hangzhou China China Space Sanjiang Group Co. Ltd. Wuhan China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China Aerospace Information Research Institute of QiLu Jinan China

The aircraft braking system is critical to ensure the safe take-off and landing of the aircraft. However, the braking system is often exposed to high temperatures and strong vibration working environments, which makes the sensor prone to failure. Sensor failure has the potential to compromise aircraft safety. In order to improve the safety of the aircraft braking system, a fault detection and fault-tolerant control (FDFTC) strategy for the aircraft brake pressure sensor is designed. Firstly, a model based on a bidirectional long short-term memory (Bi-LSTM) network is constructed to estimate the brake pressure. Then, the residual sequence is obtained by comparing the measured pressure with the estimated pressure. On this basis, the improved sequential probability ratio test (SPRT) method based on mathematical statistics is applied to analyze the residual sequence to detect the fault. Finally, simulation and hardware-in-the-loop (HIL) testing results indicate that the proposed FDFTC strategy can detect sensor faults in time and efficiently complete braking when faults occur. Hence, the proposed FDFTC strategy can effectively deal with the faults of the aircraft brake pressure sensor, which is of great significance to improve the reliability and safety of the aircraft.

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Energy-efficient design and optimization of bent pipes with guide vanes based on laser powder bed fusion: Enhancing manufacturing precision and fluid flow

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Applied Thermal Engineering 2025年 274卷

作者： Liu, Xiaochao Li, Dingbo Qiao, Weizhi Hou, Peiyao Liao, Honghui Jiao, Zongxia School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Large Aircraft Advanced Training Center Beihang University Beijing China Tianmushan Laboratory Xixi Octagon City Yuhang District Hangzhou310023 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Key Laboratory of advanced airborne systems Beihang University Beijing100191 China

Pipelines are of significant importance in fluid systems, such as those utilizing chemical, oil and gas transport and nuclear energy, serving as bridges that connects all components. They have the highest energy consumption and the greatest potential for weight reduction. Bent pipes are commonly used in pipelines as a component for fluid steering. The laser powder bed fusion technology offers a new approach to designing and manufacturing bent pipes. However, bent pipes using laser powder bed fusion have poorer internal surface quality and lower dimensional accuracy, which results in greater local resistance and pressure pulsations. This research proposes a design method for bent pipes using laser powder bed fusion with built-in guide vanes to overcome the mentioned drawbacks. This paper investigates the effects of the number, size, and position of guide vanes on local resistance and pressure pulsations through a combination of numerical simulations and experiments. Furthermore, bent pipes with guide vanes of varying positions and sizes were manufactured using laser powder bed fusion. The samples were then subjected to experimental measurements and calculations to determine their actual profiles. The results show that adding guide vanes inside the bent pipes not only improves the dimensional accuracy of the pipes by over 60%, but also reduces local resistance and pressure pulsations at the pipeline inlet by 12% and 58.5%, respectively. This research assists engineers in selecting appropriate number, size, and position of guide vanes based on the actual pipeline diameter, thus effectively reducing energy consumption and pressure pulsation. © 2025 Elsevier Ltd

关键词： Pipeline bends

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Dynamics and vibration reduction performance of a cross-type motion amplified nonlinear energy sink

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Acta Mechanica Sinica 2025年第7期41卷 1-14页

作者： Shao, Yu-Fei Ji, Jin-Chen Ding, Hu Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Frontier Science Center of Mechanoinformatics School of Mechanics and Engineering Science Shanghai University Shanghai China School of Mechanical and Mechatronic Engineering University of Technology Sydney Australia Shaoxing Institute of Technology Shanghai University Shaoxing China Shanghai Institute of Aircraft Mechanics and Control Shanghai China

Suppressing micro-amplitude vibrations is a critical issue in aerospace engineering. While nonlinear energy sinks (NES) are effective for passive vibration damping, their performance diminishes for micro-amplitude vibrations. This paper introduces a motion-amplified NES (MANES) to address this challenge. The system’s governing equations are derived using Hamilton’s principle, and an approximate analytical solution is validated by numerical methods. The effects of various parameters are explored, with higher vibration reduction efficiency achievable through parameter adjustments. Compared to cubic NES, MANES shows superior vibration suppression and a broader reduction bandwidth for micro-amplitude excitations. Additionally, MANES enters the effective vibration reduction range at lower excitation levels, indicating a reduced threshold for vibration suppression. This study provides insight into the vibration suppression mechanism of MANES, offering a theoretical foundation for mitigating micro-amplitude vibrations in engineering applications.

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Resilient Cooperative Guidance for Leader-Follower Flight Vehicles Against Maneuvering Target

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Li, Guofei Tang, Qingpu Zuo, Zongyu Wu, Yunjie Lu, Jinhu Northwestern Polytechnical University School of Astronautics Xi'an710072 China Northwestern Polytechnical University National Elite Institute of Engineering Xi'an710072 China Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing100191 China

In this paper, we explore the cooperative guidance problem of leader-follower flight vehicles against the maneuvering target in the presence of false-data injection attacks (FDIAs). All the leader-follower flight vehicles including seeker-less followers are required to arrive at the target with specified terminal time and pre-set blockade configuration. A prescribed-time convergent guidance law is given to make the leader reach the maneuvering target at appointed arrival time. Since the seeker-less followers cannot acquire the target information, a radius-variable spherical formation configuration is presented, and a resilient cooperative guidance method leveraging actor-critic neural network is proposed for the followers to form the blockade configuration and reach the target simultaneously. By exploiting both the current and historical data, an improved trust factor is presented to identify and discard the communication links contaminated by the false data. The simulation results indicate that the flight vehicles governed by the proposed approach can achieve the simultaneous arrival successfully when encountering the false data injection attacks. © 1965-2011 IEEE.

关键词： Maneuverability

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Wireless Security Enhancement Framework Based on AI and RIS in Industrial IoT Networks

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IEEE Network 2025年

作者： Zhao, Runhui Song, Huanhuan Wen, Hong Chen, Zhiwei Hou, Wenjing Feng, Xuewei University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province China Sichuan Provincial Engineering Research Center of Com-munication Technology for Intelligent IoT China

Reconfigurable Intelligent Surface (RIS) technology, closely integrated with Artificial Intelligence (AI) as one of the Physical Layer (PL) technology approaches, is considered an ef-fective solution for enhancing security in industrial Internet of Things (IIoT) networks. Integrating RIS, AI, and heterogeneous IIoT networks presents a promising approach to improving the se-curity of wireless communications in IIoT. This paper discusses new AI-based Physical Layer Authentication (PLA) approaches and how they can be integrated with RIS to enable identity authen-tication and malicious node detection, aiming to provide light-weight isolation in IIoT terminals. An anti-jamming and secure communication framework for IIoT is proposed, which leverages Deep Reinforcement Learning (DRL) and RIS to defend against malicious jamming and eavesdropping targeting legitimate users' channels. Additionally, a foundational framework that employs Quantum Reinforcement Learning (QRL) is presented to improve RIS-assisted secure communication. Furthermore, the threats posed by Generative AI (GAI) to RIS-assisted IIoT communica-tion networks and possible defense schemes are provided. Finally, the paper concludes by discussing research opportunities and fu-ture challenges. © 1986-2012 IEEE.

关键词： Authentication

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Coordinated control of Deformation and Flight for Morphing aircraft via Meta-Learning and Coupled State-Dependent Riccati Equations

arXiv

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arXiv 2025年

作者： Che, Hao-Chi Wu, Huai-Ning School of Automation Science and Electrical Engineering Beihang University Beijing China The Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Hangzhou International Innovation Institute Beihang University Hangzhou311115 China

In this paper, the coordinated control problem of deformation and flight for morphing aircraft (MA) is studied by using meta-learning (ML) and coupled state-dependent Riccati equations (CSDREs). Our method is built on two principal observations that dynamic models of MA under varying morphing conditions share a morphing condition independent representation function and that the specific morphing condition part lies in a set of linear coefficients. To that end, the domain adversarially invariant meta-learning (DAIML) is employed to learn the shared representation with offline flight data. Based on the learned representation function, the coordinated control of the deformation and flight for MA is formulated as a non-cooperative differential game. The state-dependent feedback control solutions can be derived by addressing a pair of CSDREs. For this purpose, Lyapunov iterations are extended to obtain the positive semidefinite (definite) stabilizing solutions of the CSDREs, and the convergence proof of the proposed algorithm is provided. Finally, a simulation study is carried out to validate the efficacy of the developed coordinated game control strategies. Copyright © 2025, The Authors. All rights reserved.

关键词： Riccati equations

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Analysis of double side ironless permanent magnet linear synchronous machine with low normal force

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Scientific Reports 2025年第1期15卷 1-14页

作者： He, Xinghua Sun, Qixin Yan, Liang Xiang, Pengjie Zheng, Tao School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Ningbo Institute of Technology Beihang University Ningbo 315800 China Beijing Aerospace Control Instrument Research Institute Beijing 100854 China

An electromagnetic linear machine is an energy conversion device that can convert electrical energy into linear motion. Conventional study of electromagnetic linear machines mainly focuses on the axial thrust, because it can be used to act on external payloads directly. However, due to manufacturing error and mechanical deformation of mover, the double side permanent magnet linear synchronous machine (DPMLSM) often generates unbalanced normal force on mover. This unwanted force may aggravate the mover deformation and lead to unequal airgap, which increases the normal force further, consequently leading an increase of friction, vibration and noise of the system. Therefore, the normal force in also important that is ignored. The purpose of this article is to study the normal force of DPMLSM to provide theoretical support for the design. The normal force of DPMLSM is analysed systematically and the magnetic field distribution is formulated analytically. The normal force for different mover deformation and different number of Halbach segments are analysed. It is found that the offset of normal installation has a significant impact on the normal force, and the more segments there are, the smaller the normal force. The width of the pole is optimized and an experimental prototype is fabricated to verify the accuracy of analytical and numerical calculations through experiments. © The Author(s) 2025.

关键词： Dual Halbach array Electromagnetic normal force Permanent magnet machine

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